HIH - Data Management Strategy & Governance Advisor

Cigna — Hyderabad, India

Data Operations Advisor (Platinum Data Specifications & Governance) Experience Level 11-13 years in Data Management, Data Operations, or Enterprise Analytics Enablement Role Summary The Data Operations Business Analyst is responsible for defining, capturing, and operationalizing data specifications and business metadata for Platinum‑level enterprise data sources . This role focuses on the detailed documentation of source tables, data structures, lineage, and business meaning, ensuring that critical enterprise data assets are fully specified, governed, and discoverable within enterprise data governance platforms. The role partners closely with business stakeholders, analytic teams, and data engineering to translate enterprise data assets into well‑documented, observable, and trusted data products , with specifications maintained centrally in governance and metadata management tools such as Collibra . Key Responsibilities Data Specification & Metadata Capture Lead the identification and documentation of data specifications for Platinum‑level enterprise data sources, including: Source systems and source tables Key data elements and attributes Transformation logic and dependencies End‑to‑end data lineage Gather, define, and maintain business metadata , including: Business definitions and terminology Metric descriptions and business context Data ownership and stewardship assignments Ensure both business and technical metadata are complete, accurate, and aligned to enterprise standards. Enterprise Data Governance Enablement Ensure all data specifications and metadata are registered, maintained, and governed within enterprise data governance tools, with a primary focus on Collibra . Support governance workflows including: Data asset onboarding and certification Business glossary curation Stewardship reviews and approvals Partner with data owners, stewards, and governance teams to ensure Platinum data sources meet certification, transparency, and auditability expectations .

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